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Paper Citation Record · LEDGER

From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.09727.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2409.09727 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:22:08.512177Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-27T05:30:35.640656Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 92658784-81b6-46b9-8861-23802dc954a0 · inbound

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI cites this paper.

Inclusive Federated Learning Through Compliance-Weighted Noise Allocation in Healthcare AI From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:22:08.512177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:22:08.512177Z digest=sha256:bc306aad287578ab504279d42f0b5b14232b6a1775b1862508df9c384ef90990

Observation 9a3886e0-a4f3-4f7f-8dde-a2e9a9a3c701 · inbound

A solvable model for unsupervised federated learning cites this paper.

A solvable model for unsupervised federated learning From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-27T05:30:35.642262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T05:29:28.968146Z digest=sha256:82191f513bb9756c9dcf00c272fd67b49dc9e4513d9add61471d2bbc6c556303